A good quality Origin-Destination matrix is a fundamental prerequisite for any serious strategic transportsystem analysis. However, is not always easy to obtain it, as OD matrices are expensive and difficult toobtain. This is particularly relevant in large cities, with congested networks, where detailed zonificationand time disaggregation require large sample sizes and complicated survey methods. Therefore, theincorporation of information technology in some public transport systems around the world is an excellentopportunity for passive data collection. In this paper we present a methodology for estimating an ODmatrix from smartcard and GPS data for Santiago, Chile. We applied the proposed method to a one-weekdatabase, obtaining detailed information for time and position of boarding, time and position of alightingfor 80% of the 36 million boarding transactions. The results are available at any desired time-spacedisaggregation. After some post processing, and incorporating expansion factors to account forunobserved trips we build OD matrices disaggregated at bus stop level.
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